awslabs / rhubarb
A Python framework for multi-modal document understanding with Amazon Bedrock
Why this job: works in the areas we cover, but does not say which job it does
What it does
- 8 Tools. Complete access to all Rhubarb capabilities including document analysis, video processing, entity extraction, and document classification
- 4 Resources. Built-in discovery for entities, models, schemas, and classification samples
- Native Python. Direct integration without external dependencies
- Conversation Memory. Maintains chat history across interactions
- Flexible Authentication. Support for AWS profiles, access keys, and environment variables
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 102
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.0.8
- Released 7 months ago
- Built with
- Python
- 68% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 57% closed
- 6 still open
- Pull requests
- 24 merged
- 19 waiting
- Releases
- 10
- 1 in the last year
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| modelscope / modelscope | 9,216 | today | Apache-2.0 | No downloads |
| aws-samples / sample-strands-agent-with-agentcore | 199 | 6 days ago | MIT | No downloads |
| OpenVGLab / OmniLottie | 813 | 7 months ago | Apache-2.0 | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 68%
- Jupyter Notebook 31%
- JavaScript <1%
- Dockerfile <1%
Topics
- amazon-bedrock
- document-processing
- generative-ai
- intelligent-document-processing
- multi-modal
Project record
- JobOther AI tools
- StatusListed
- Commits135
- Forks14
- Watching6
- Stars in 28 days+1
- CreatedApr 17, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026